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Multivariate Statistics Location Material Measurement Laboratory, Biomolecular Measurement Division opportunity location 50.64.51.B7843 Gaithersburg, MD NIST only participates in the February and August reviews
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RAP opportunity at National Institute of Standards and Technology NIST Method Development and Best Practices for Atomic Clock Metrology Location Information Technology Laboratory, Statistical
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individuals with backgrounds across the chemical, mathematical, epidemiological, and statistical science disciplines. key words Public Health; Opioids; Monitoring; Mass Spectrometry; Optical Spectroscopy; Drugs
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ionization sources that allow for single-drop analysis with minimal competitive ionization and maximal analyte intensity is of major interest. Additionally, creation of statistical treatment methods
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301.975.2461 Description Our goal is to develop and apply new computational (molecular simulation) and theoretical (statistical mechanics and thermodynamics) methods to study complex fluids, with an emphasis
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volume and quality that is consistent with the use of statistical methods; machine learning techniques for knowledge discovery; protein-protein interaction network analysis; novel algorithms for next
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widely adopted in metrology and statistics, and are in harmony with NIST uncertainty guidance documents. The developed models, knowledge, data, and software will be used to further the NIST effort in
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, forensics, statistics, and computer programming are applicable. key words Forensics; Forensic Science; Seized Drug; Opioids; Mass Spectrometry; Statistics; Analytical Chemistry Eligibility Citizenship: Open
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This research opportunity will encompass one or more of the following areas: mass spectrometry data analysis, variability and statistical modeling, and/or proteome informatics. The Associate will work with and
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Simulation; Computational Chemistry; Colloidal Self-assembly; Material Science; Statistical Mechanics; Inverse Design Citizenship: Open to U.S. citizens